linguistics | neutral framework for extending Ruby objects

I have tried out the following snippet of code for my project:

Question: judging from this list, am I understanding it correctly that the two Hebrew characters bet (U+05D1) and dagesh (U+05BC) cannot be normalized/composed into bet with dagesh (U+FB31)?

Context: I know that when Hebrew text is normalized, it is in a way not typically suited for historical linguistics. I have a package that sequences the characters into the preferred way, but I would to be able to recompose them:

I am writing my PhD in linguistics and I wish to use a recursive programming method as a parallel to visualise a process. Recursion is important here, because this concept relies on the comparison of the concept recursion in programming and in linguistics. Let us a suppose that we wish to write a method that creates folders and subfolders (and subfolders...) within them. For the sake of simplicity we could handle the folder names as integers and there is no need to create folders themselves. I wish to implement this method with the following rules

• Every top folder name should be randomly generated as an integer between 1 and 999 (could be more, but it threw me a Stack Overflow error with larger numbers, but then my solution was flawed)
• Every subfolder inherits its name from the top folder, to simplify the process, every top folder has three subfolders and the names of these are generated the following way:first subfolder has the 2x the value of the top folder, second 3x and third 4x
• This rules applies to the subfolders' subfolders as well until they reach 999
• The program should count how many of these folders / numbers were created in the process

I tried quite many times and mainly every time some steps were missing or not working: Version 1:

numbers here is a static variable of the class (list), but I would be happy if there would be a solution where I wouldn't need this.

How do I provide an OpenNLP model for tokenization in vespa? This mentions that "The default linguistics module is OpenNlp". Is this what you are referring to? If yes, can I simply set the set_language index expression by referring to the doc? I did not find any relevant information on how to implement this feature in https://docs.vespa.ai/en/linguistics.html, could you please help me out with this?

Required for CJK support.

I have code like this In one file I have

I was wondering whether spacy has some APIs to do phrase* extraction as one would do when using word2phrase or the Phrases class from gensim. Thank you.

PS. Phrases are also called collocations in Linguistics.

I am pretty green when it comes to R and coding in general. I've been working on a CS project recently for a linguistics course through which I'm finding the words that surround various natural landscape words in The Lord of the Rings. For instance, I'm interested in finding the descriptive words used around words like "stream", "mountain", etc.

Anyhow, to extract all of these words from the text, I've been working off of this post. When running this command by itself, it works:

stringr::str_extract_all(text, "([^\\s]+\\s){4}stream(\\s[^\\s]+){6}")

where "stream" is the specific word I'm going after. The numbers before and after specify how many words before and after I want to extract along with it.

However, I'm interested in combining this (and some other things) into a single function, where all you need to plug in the text you want to search, and the word you want to get context for. However, as far as I've tinkered, I can't get anything other than a specific word to work in the above code. Would there be a way to, in the context of writing a function in R, include the above code, but with a variable input, for instance

stringr::str_extract_all(text, "([^\\s]+\\s){4}WORD(\\s[^\\s]+){6}")

where WORD is whatever you specify in the overall function:

function(text,WORD)
I apologize for the generally apparent newb-ness of this post. I am very new to all of this but would greatly appreciate any help you could offer.

i'm working on an nlp project and trying to follow this tutorial https://medium.com/@ageitgey/natural-language-processing-is-fun-9a0bff37854e and while executing this part

I know that in linguistics these terms can be used interchangeably, but are there specific definitions in Dash Plotly, or, generally, in data science?